Lead - Artificial Intelligence Engineer
Core
Design, develop, and deliver production-ready AI applications and backend services using Python, LLMs, and agentic workflows.
Role type
Senior IC Lead AI Engineer (LLM & Agentic AI)
Builds
Scalable backend services, AI-powered applications, and intelligent automation solutions
Domain
Artificial Intelligence / Large Language Models / Backend Engineering
Deliverable
production ML models
Required skills
Python, FastAPI, asynchronous programming, LLM application development, AI agent orchestration, RAG architectures, vector databases, distributed systems, PostgreSQL, Redis, Docker, automated testing, technical leadership
Preferred skills
Model Context Protocol (MCP), advanced agent orchestration, multi-agent architectures, human-in-the-loop workflows, event-driven messaging technologies (NATS, Kafka)
Technologies
Python, FastAPI, Pydantic, LangGraph, LangChain, Qdrant, pgvector, Pinecone, NATS, Kafka, PostgreSQL, Redis, Docker
Responsibilities
Design and implement AI agents and agentic workflows; Build LLM-powered solutions using RAG and embeddings; Integrate LLMs with internal systems and external services; Evaluate and optimize AI solutions for accuracy, reliability, and performance; Design scalable architectures using asynchronous processing and message queues; Implement AI security controls; Build and deploy production-ready services with testing and monitoring; Lead technical design discussions and mentor engineers
Seniority
Senior, hands-on IC with leadership responsibilities
